fix smol bug in pipeline

kontext_pipeline.py

@@ -939,9 +939,9 @@ class FluxKontextPipeline(
         # 3. Preprocess image
         if not torch.is_tensor(image) or image.size(1) == self.latent_channels:
             if isinstance(image, list):
-                image_width, image_height = self.image_processor.get_default_height_width(image[0])
+                image_height, image_width = self.image_processor.get_default_height_width(image[0])
             else:
-                image_width, image_height = self.image_processor.get_default_height_width(image)
+                image_height, image_width = self.image_processor.get_default_height_width(image)
             print("orig width, height:", image_width, image_height)
             aspect_ratio = image_width / image_height
             if _auto_resize:
@@ -954,7 +954,6 @@ class FluxKontextPipeline(
             image_height = image_height // multiple_of * multiple_of
             image = self.image_processor.resize(image, image_height, image_width)
             image = self.image_processor.preprocess(image, image_height, image_width)
-            width, height = image_width, image_height
 
         # 4. Prepare latent variables
         num_channels_latents = self.transformer.config.in_channels // 4